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Research Report

Community
Shy2593666979
research-report

根据用户提供的多源资料编写研究报告、主题综述或方案对比,区分证据与推断并保留来源。

Overview

PublisherShy2593666979
RepositoryAgentChat
Skill nameresearch-report
Stars
926
Forks
113
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Shy2593666979 on GitHub. Read the source before you install it.

Installation

Install the Research Report AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Shy2593666979/AgentChat/tree/main/src/backend/agentchat/config/skills/research-report
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Shy2593666979/AgentChat.git /tmp/AgentChat
mkdir -p .claude/skills
cp -r /tmp/AgentChat/src/backend/agentchat/config/skills/research-report .claude/skills/research-report
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Research Report in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Research Report on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Research Report is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

研究报告

用于需要明确研究问题、比较资料并形成有依据结论的任务。直接解释一个概念时,不必套用完整报告。

工作方法

  1. 从请求中提取研究问题、读者、时间范围与比较维度。缺少决定结论的关键信息时,只询问必要内容。
  2. 将提供的材料按问题归类,记录作者或机构、日期、来源链接或材料编号。来源内容相互矛盾时,保留分歧并说明可能原因。
  3. 分别标记材料中的事实、作者观点和自己的推断。引用必须能定位到实际提供的材料;没有材料支持的说法不能写成确定结论。
  4. 围绕研究问题组织分析,解释各结论的依据、适用范围及不确定性。对比方案时使用一致维度。
  5. 给出能够回答原问题的结论,并列出仍需补充的证据。

组织报告时读取 /research-report/reference/output-template.md;交付前读取 /research-report/reference/review-checklist.md。

能力边界

当前可以读取技能文件与用户在对话中提供的资料。没有联网检索工具时,不声称检索过网页;用户只给链接而未提供正文时,说明该来源尚未核实。需要最新信息时,让主智能体补充检索材料。不要编造文献、数据或引文。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Research Report AI skill do?

根据用户提供的多源资料编写研究报告、主题综述或方案对比,区分证据与推断并保留来源。

Why use Research Report on TypingMind?

Because you install it once and use it with any model. Research Report is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Research Report in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Shy2593666979/AgentChat/tree/main/src/backend/agentchat/config/skills/research-report. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Research Report?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Research Report?

As many as you like. As long as a model supports skills, you can use Research Report with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Research Report AI skill free?

Yes. It is published on GitHub by Shy2593666979 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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